Scientist, Bioinformatics

Responsibilities

• Design, build, and maintain bioinformatics tools, libraries, and databases analyzing Spatial Proteomics / mIF data.
• Analyze and interpret large, complex biological datasets - including spatial proteomics and single-cell data - to support discovery of new drugs, therapies, and biologically meaningful patterns.
• Evaluate, test, and improve existing internal software solutions, and partner with software teams during active development cycles.
• Work cross-functionally with wetlab and software teams to critically evaluate data from multiplex biomarker assays and translate scientific needs into analysis solutions.
• Communicate findings to scientists, researchers, and stakeholders through clear written reports and presentations.
• Challenge the status quo by engaging in constructive critique of established practices and proposing better alternatives.
• Deliver projects and milestones on time, keeping leadership informed through routine progress updates.
• May participate in travel to conferences and tradeshows.

Qualifications

• Requires a PhD with extensive bioinformatic analysis background
• Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing environments is a plus.
• Demonstrated ability to design and write clean, reusable functions, modules, and analysis pipelines - not just notebook-style scripting.
• Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and deployment), particularly applied to imaging or single-cell data.
• Ability to communicate, educate and engage wet lab scientists
• Excellent collaboration and interpersonal skills